Conference Information

BINLP 2026: International Conference on Big Data, IOT & NLP

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Submission Date:
2026-08-14
Notification Date:
2026-10-10
Conference Date:
2026-12-26
Location:
Dubai, UAE
Years:
Viewed: 10797   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

47.4 / 100
Ranked #2,160 of 5,682 conferences · Top 38%

#37 of 85 in Natural Language Processing & Speech #121 of 337 in Data Mining & Databases #321 of 864 in Networks & Communications

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
52
Community attention (10%)
12
Public record completeness (15%)
55

Inputs used: Editions on record: 6 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-17

Call For Papers

BINLP 2026 (International Conference on Big Data, IOT & NLP) is an academic conference held in Dubai, UAE on 2026-12-26. The paper submission deadline is 2026-08-14. Acceptance notifications are sent on 2026-10-10.

SCOPE 6th International Conference on Big Data, IOT & NLP (BINLP 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data, IoT and NLP. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data, Internet of Things and NLP. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest Argumentation Mining and Applications Big Data & Business Intelligence Connectivity and Networking Corpus Analysis Deep Learning, Neural Languages and NLP Electronics and Signal processing for IoT Experimental Results and Deployment Scenarios Information Extraction, Retrieval IoT Applications and Services IoT-enabled Innovation and Entrepreneurship Natural language and Ubiquitous Computing Natural Language in Conceptual Modeling NLP techniques for ambient intelligence NLP techniques for Internet of Things (IoT) Question Answering (QA) Security and Privacy for IoT Semantic Processing & NLP Semantic Web, Open Linked Data, and Ontologies Social Media and Web Analytics
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